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cobrapy

Open source alternatives to cobrapy

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

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  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About cobrapy

C

cobrapy

Performs constraint-based metabolic modeling

cobrapy is an agent skill for constraint-based metabolic modelling with COBRApy. It covers loading and building metabolic networks, optimising their steady-state fluxes, and running knockout screens. It also covers medium design, sampling of the feasible flux space and gap-filling hypotheses. The methods named include flux balance analysis, parsimonious FBA, flux variability analysis, gene knockouts, flux sampling, growth media and production envelopes. The skill is careful about what the methods can show. Flux balance analysis is a constraint-based prediction. It does not infer kinetic rates, and it does not establish experimental growth, thermodynamic feasibility or flux identifiability. The skill targets cobra 0.32.1, which is imported as cobra, and it was checked against the released source and current documentation. The install command is uv pip install with cobra pinned to 0.32.1, and an optional extra adds SciPy support for MATLAB file input and output and array operations. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.

Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/cobrapy